| Type: | Package |
| Title: | Interactive Dashboard for 'HIV' Data Visualization |
| Version: | 0.1.2 |
| Description: | An interactive 'Shiny' dashboard for visualizing and exploring key metrics related to HIV/AIDS, including prevalence, incidence, mortality, and treatment coverage. The dashboard is designed to work with a dataset containing specific columns with standardized names. These columns must be present in the input data for the app to function properly: year: Numeric year of the data (e.g. 2010, 2021); sex: Gender classification (e.g. Male, Female); age_group: Age bracket (e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence percentage; hiv_incidence: Number of new HIV cases per year; aids_deaths: Total AIDS-related deaths; plhiv: Estimated number of people living with HIV; art_coverage: Percentage receiving antiretroviral therapy (ART); testing_coverage: HIV testing services coverage; causes: Description of likely HIV transmission cause (e.g. unprotected sex, drug use). The dataset structure must strictly follow this column naming convention for the dashboard to render correctly. |
| Depends: | R(≥ 3.5.0) |
| VignetteBuilder: | knitr |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| LazyData: | true |
| Imports: | shiny (≥ 1.7.0), shinydashboard, readxl, haven, dplyr, DT, ggplot2, plotly, tidyr,wordcloud, ggrepel, paletteer, shinyWidgets, tools |
| RoxygenNote: | 7.3.2 |
| URL: | https://github.com/Atefehrashidi/HIViz |
| BugReports: | https://github.com/Atefehrashidi/HIViz/issues |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | no |
| Packaged: | 2025-07-22 20:23:45 UTC; Administrator |
| Author: | Atefeh Rashidi Pour
 [aut, cre],
Marzieh Rashidipour
[aut] |
| Maintainer: | Atefeh Rashidi Pour <rashidiatefeh98@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-07-23 19:20:08 UTC |
HIViz: Interactive Dashboard for 'HIV' Data Visualization
Description
An interactive 'Shiny' dashboard for visualizing and exploring key metrics related to HIV/AIDS, including prevalence, incidence, mortality, and treatment coverage. The dashboard is designed to work with a dataset containing specific columns with standardized names. These columns must be present in the input data for the app to function properly: year: Numeric year of the data (e.g. 2010, 2021); sex: Gender classification (e.g. Male, Female); age_group: Age bracket (e.g. 15–24, 25–34); hiv_prevalence: Estimated HIV prevalence percentage; hiv_incidence: Number of new HIV cases per year; aids_deaths: Total AIDS-related deaths; plhiv: Estimated number of people living with HIV; art_coverage: Percentage receiving antiretroviral therapy (ART); testing_coverage: HIV testing services coverage; causes: Description of likely HIV transmission cause (e.g. unprotected sex, drug use). The dataset structure must strictly follow this column naming convention for the dashboard to render correctly.
Author(s)
Maintainer: Atefeh Rashidi Pour rashidiatefeh98@gmail.com (ORCID)
Authors:
Marzieh Rashidipour marzyeh.rashidi@gmail.com (ORCID)
See Also
Useful links:
Launch the HIViz Shiny App
Description
This function launches the Shiny application.
Usage
launchApp()
Value
Invisible NULL. Called for its side effects (launches the
Shiny application in the default browser).
Examples
if (interactive()) {
HIViz::launchApp()
}
Sample HIV Epidemiology Dataset
Description
A small sample dataset for demonstrating the HIViz dashboard.
Usage
sample_data
Format
A data frame with 3 rows and 10 variables:
- country
e.g., Iran, Spain
- year
Numeric year
- sex
Gender (Male, Female)
- age_group
Age group (e.g., "15–24")
- hiv_prevalence
% Prevalence
- hiv_incidence
New cases
- aids_deaths
AIDS deaths
- plhiv
People living with HIV
- art_coverage
% ART coverage
- testing_coverage
% Testing coverage
- causes
Cause of transmission